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3. Using genome and transcriptome data from African-ancestry female participants to identify putative breast cancer susceptibility genes

Author

Ping, Jie, Jia, Guochong, Cai, Qiuyin, Guo, Xingyi, Tao, Ran, Ambrosone, Christine, Huo, Dezheng, Ambs, Stefan, Barnard, Mollie E., Chen, Yu, Garcia-Closas, Montserrat, Gu, Jian, Hu, Jennifer J., John, Esther M., Li, Christopher I., Nathanson, Katherine, Nemesure, Barbara, Olopade, Olufunmilayo I., Pal, Tuya, Press, Michael F., Sanderson, Maureen, Sandler, Dale P., Yoshimatsu, Toshio, Adejumo, Prisca O., Ahearn, Thomas, Brewster, Abenaa M., Hennis, Anselm J. M., Makumbi, Timothy, Ndom, Paul, O’Brien, Katie M., Olshan, Andrew F., Oluwasanu, Mojisola M., Reid, Sonya, Yao, Song, Butler, Ebonee N., Huang, Maosheng, Ntekim, Atara, Li, Bingshan, Troester, Melissa A., Palmer, Julie R., Haiman, Christopher A., Long, Jirong, and Zheng, Wei

Published
2024
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4. Fine-mapping analysis including over 254,000 East Asian and European descendants identifies 136 putative colorectal cancer susceptibility genes

Author

Chen, Zhishan, Guo, Xingyi, Tao, Ran, Huyghe, Jeroen R., Law, Philip J., Fernandez-Rozadilla, Ceres, Ping, Jie, Jia, Guochong, Long, Jirong, Li, Chao, Shen, Quanhu, Xie, Yuhan, Timofeeva, Maria N., Thomas, Minta, Schmit, Stephanie L., Díez-Obrero, Virginia, Devall, Matthew, Moratalla-Navarro, Ferran, Fernandez-Tajes, Juan, Palles, Claire, Sherwood, Kitty, Briggs, Sarah E. W., Svinti, Victoria, Donnelly, Kevin, Farrington, Susan M., Blackmur, James, Vaughan-Shaw, Peter G., Shu, Xiao-Ou, Lu, Yingchang, Broderick, Peter, Studd, James, Harrison, Tabitha A., Conti, David V., Schumacher, Fredrick R., Melas, Marilena, Rennert, Gad, Obón-Santacana, Mireia, Martín-Sánchez, Vicente, Oh, Jae Hwan, Kim, Jeongseon, Jee, Sun Ha, Jung, Keum Ji, Kweon, Sun-Seog, Shin, Min-Ho, Shin, Aesun, Ahn, Yoon-Ok, Kim, Dong-Hyun, Oze, Isao, Wen, Wanqing, Matsuo, Keitaro, Matsuda, Koichi, Tanikawa, Chizu, Ren, Zefang, Gao, Yu-Tang, Jia, Wei-Hua, Hopper, John L., Jenkins, Mark A., Win, Aung Ko, Pai, Rish K., Figueiredo, Jane C., Haile, Robert W., Gallinger, Steven, Woods, Michael O., Newcomb, Polly A., Duggan, David, Cheadle, Jeremy P., Kaplan, Richard, Kerr, Rachel, Kerr, David, Kirac, Iva, Böhm, Jan, Mecklin, Jukka-Pekka, Jousilahti, Pekka, Knekt, Paul, Aaltonen, Lauri A., Rissanen, Harri, Pukkala, Eero, Eriksson, Johan G., Cajuso, Tatiana, Hänninen, Ulrika, Kondelin, Johanna, Palin, Kimmo, Tanskanen, Tomas, Renkonen-Sinisalo, Laura, Männistö, Satu, Albanes, Demetrius, Weinstein, Stephanie J., Ruiz-Narvaez, Edward, Palmer, Julie R., Buchanan, Daniel D., Platz, Elizabeth A., Visvanathan, Kala, Ulrich, Cornelia M., Siegel, Erin, Brezina, Stefanie, Gsur, Andrea, Campbell, Peter T., Chang-Claude, Jenny, Hoffmeister, Michael, Brenner, Hermann, Slattery, Martha L., Potter, John D., Tsilidis, Kostas K., Schulze, Matthias B., Gunter, Marc J., Murphy, Neil, Castells, Antoni, Castellví-Bel, Sergi, Moreira, Leticia, Arndt, Volker, Shcherbina, Anna, Bishop, D. Timothy, Giles, Graham G., Southey, Melissa C., Idos, Gregory E., McDonnell, Kevin J., Abu-Ful, Zomoroda, Greenson, Joel K., Shulman, Katerina, Lejbkowicz, Flavio, Offit, Kenneth, Su, Yu-Ru, Steinfelder, Robert, Keku, Temitope O., van Guelpen, Bethany, Hudson, Thomas J., Hampel, Heather, Pearlman, Rachel, Berndt, Sonja I., Hayes, Richard B., Martinez, Marie Elena, Thomas, Sushma S., Pharoah, Paul D. P., Larsson, Susanna C., Yen, Yun, Lenz, Heinz-Josef, White, Emily, Li, Li, Doheny, Kimberly F., Pugh, Elizabeth, Shelford, Tameka, Chan, Andrew T., Cruz-Correa, Marcia, Lindblom, Annika, Hunter, David J., Joshi, Amit D., Schafmayer, Clemens, Scacheri, Peter C., Kundaje, Anshul, Schoen, Robert E., Hampe, Jochen, Stadler, Zsofia K., Vodicka, Pavel, Vodickova, Ludmila, Vymetalkova, Veronika, Edlund, Christopher K., Gauderman, W. James, Shibata, David, Toland, Amanda, Markowitz, Sanford, Kim, Andre, Chanock, Stephen J., van Duijnhoven, Franzel, Feskens, Edith J. M., Sakoda, Lori C., Gago-Dominguez, Manuela, Wolk, Alicja, Pardini, Barbara, FitzGerald, Liesel M., Lee, Soo Chin, Ogino, Shuji, Bien, Stephanie A., Kooperberg, Charles, Li, Christopher I., Lin, Yi, Prentice, Ross, Qu, Conghui, Bézieau, Stéphane, Yamaji, Taiki, Sawada, Norie, Iwasaki, Motoki, Le Marchand, Loic, Wu, Anna H., Qu, Chenxu, McNeil, Caroline E., Coetzee, Gerhard, Hayward, Caroline, Deary, Ian J., Harris, Sarah E., Theodoratou, Evropi, Reid, Stuart, Walker, Marion, Ooi, Li Yin, Lau, Ken S., Zhao, Hongyu, Hsu, Li, Cai, Qiuyin, Dunlop, Malcolm G., Gruber, Stephen B., Houlston, Richard S., Moreno, Victor, Casey, Graham, Peters, Ulrike, Tomlinson, Ian, and Zheng, Wei

Published
2024
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5. Genome-wide association analyses of breast cancer in women of African ancestry identify new susceptibility loci and improve risk prediction

Author

Jia, Guochong, Ping, Jie, Guo, Xingyi, Yang, Yaohua, Tao, Ran, Li, Bingshan, Ambs, Stefan, Barnard, Mollie E., Chen, Yu, Garcia-Closas, Montserrat, Gu, Jian, Hu, Jennifer J., Huo, Dezheng, John, Esther M., Li, Christopher I., Li, James L., Nathanson, Katherine L., Nemesure, Barbara, Olopade, Olufunmilayo I., Pal, Tuya, Press, Michael F., Sanderson, Maureen, Sandler, Dale P., Shu, Xiao-Ou, Troester, Melissa A., Yao, Song, Adejumo, Prisca O., Ahearn, Thomas, Brewster, Abenaa M., Hennis, Anselm J. M., Makumbi, Timothy, Ndom, Paul, O’Brien, Katie M., Olshan, Andrew F., Oluwasanu, Mojisola M., Reid, Sonya, Butler, Ebonee N., Huang, Maosheng, Ntekim, Atara, Qian, Huijun, Zhang, Haoyu, Ambrosone, Christine B., Cai, Qiuyin, Long, Jirong, Palmer, Julie R., Haiman, Christopher A., and Zheng, Wei

Published
2024
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7. Potential cyberbullying detection in social media platforms based on a multi-task learning framework

Author

Guo Xingyi and Hamedi Mohd Adnan

Subjects
Social Sciences, Management. Industrial management, HD28-70
Abstract

The proliferation of online violence has given rise to a spate of malignant incidents, necessitating a renewed focus on the identification of cyberbullying comments. Text classification lies at the heart of efforts to tackle this pernicious problem. The identification of cyberbullying comments presents unique challenges that call for innovative solutions. In contrast to traditional text classification tasks, cyberbullying comments are often accompanied by subtle and arbitrary expressions that can confound even the most sophisticated classification networks, resulting in low recognition accuracy and effectiveness. To address this challenge, a novel approach is proposed that leverages the BERT pre-training model for word embedding to retain the hidden semantic information in the text. Building on this foundation, the BiSRU++ model which combines attentional mechanisms is used to further extract contextual features of comments. A multi-task learning framework is employed for joint training of sentiment analysis and cyberbullying detection to improve the model's classification accuracy and generalization ability. The proposed model is no longer entirely reliant on a sensitive word dictionary, and experimental results demonstrate its ability to better understand semantic information compared to traditional models, facilitating the identification of potential online cyberbullying comments.

Published
2024
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9. PPAR-α Agonist Fenofibrate Ameliorates Sjögren Syndrome–Like Dacryoadenitis by Modulating Th1/Th17 and Treg Cell Responses in NOD Mice

Author

Guo, Xingyi, Dang, Weiyu, Li, Na, Wang, Ying, Sun, Deming, Nian, Hong, and Wei, Ruihua

Subjects
Immunology, Biomedical and Clinical Sciences, Ophthalmology and Optometry, Digestive Diseases, Autoimmune Disease, Eye Disease and Disorders of Vision, Aetiology, 2.1 Biological and endogenous factors, Inflammatory and immune system, Animals, Dacryocystitis, Fenofibrate, Fluoresceins, Forkhead Transcription Factors, Inflammation, Interleukin-17, Male, Mice, Mice, Inbred NOD, PPAR alpha, Sjogren's Syndrome, T-Lymphocytes, Regulatory, Th1 Cells, Th17 Cells, fenofibrate, autoimmune dacryoadenitis, Th1, Th17, Treg, LXR-, 3, Biological Sciences, Medical and Health Sciences, Ophthalmology & Optometry, Ophthalmology and optometry
Abstract

PurposeTo investigate the effects and mechanisms of fenofibrate, a synthetic ligand of peroxisome proliferator-activated receptor α (PPAR-α), on autoimmune dacryoadenitis in a mouse model of Sjögren syndrome (SS) dry eye.MethodsMale nonobese diabetic (NOD) mice were fed chow with or without 0.03% fenofibrate for 8 weeks, and clinical scores were determined by assessing tear secretion, fluorescein, and hematoxylin and eosin staining. Intracellular IFN-γ, IL-17, and Foxp3 in CD4+ T cells were measured by flow cytometry. The expressions of Th1, Th17, and Treg cell-related transcription factors and cytokines were detected by real-time PCR. The levels of PPAR-α and liver X receptor β (LXR-β) were detected with real-time PCR and Western blotting.ResultsFenofibrate efficiently diminished the lymphocytic inflammation in lacrimal glands (LGs), increased tear secretion, and decreased corneal fluorescein staining in NOD mice. Meanwhile, treatment of fenofibrate evidently reduced the proportion of Th1 and Th17 cells and increased the proportion of Treg cells in vivo and vitro, together with decreased expression of T-bet, IFN-γ, RORγt, and IL-17, as well as increased expression of Foxp3 and TGF-β1 in LGs. Furthermore, fenofibrate significantly upregulated the expressions of PPAR-α and LXR-β at the protein and mRNA levels.ConclusionsFenofibrate potently attenuated LG inflammation in a model of autoimmune dry eye, and this effect might partially result from regulating Th1/Th17/Treg cell responses by activating PPAR-α/LXR-β signaling. These data suggest that fenofibrate may be a novel class of therapeutic agent for SS-associated dacryoadenitis.

Published
2022

12. Deciphering colorectal cancer genetics through multi-omic analysis of 100,204 cases and 154,587 controls of European and east Asian ancestries

Author

Fernandez-Rozadilla, Ceres, Timofeeva, Maria, Chen, Zhishan, Law, Philip, Thomas, Minta, Schmit, Stephanie, Díez-Obrero, Virginia, Hsu, Li, Fernandez-Tajes, Juan, Palles, Claire, Sherwood, Kitty, Briggs, Sarah, Svinti, Victoria, Donnelly, Kevin, Farrington, Susan, Blackmur, James, Vaughan-Shaw, Peter, Shu, Xiao-ou, Long, Jirong, Cai, Qiuyin, Guo, Xingyi, Lu, Yingchang, Broderick, Peter, Studd, James, Huyghe, Jeroen, Harrison, Tabitha, Conti, David, Dampier, Christopher, Devall, Mathew, Schumacher, Fredrick, Melas, Marilena, Rennert, Gad, Obón-Santacana, Mireia, Martín-Sánchez, Vicente, Moratalla-Navarro, Ferran, Oh, Jae Hwan, Kim, Jeongseon, Jee, Sun Ha, Jung, Keum Ji, Kweon, Sun-Seog, Shin, Min-Ho, Shin, Aesun, Ahn, Yoon-Ok, Kim, Dong-Hyun, Oze, Isao, Wen, Wanqing, Matsuo, Keitaro, Matsuda, Koichi, Tanikawa, Chizu, Ren, Zefang, Gao, Yu-Tang, Jia, Wei-Hua, Hopper, John, Jenkins, Mark, Win, Aung Ko, Pai, Rish, Figueiredo, Jane, Haile, Robert, Gallinger, Steven, Woods, Michael, Newcomb, Polly, Duggan, David, Cheadle, Jeremy, Kaplan, Richard, Maughan, Timothy, Kerr, Rachel, Kerr, David, Kirac, Iva, Böhm, Jan, Mecklin, Lukka-Pekka, Jousilahti, Pekka, Knekt, Paul, Aaltonen, Lauri, Rissanen, Harri, Pukkala, Eero, Eriksson, Johan, Cajuso, Tatiana, Hänninen, Ulrika, Kondelin, Johanna, Palin, Kimmo, Tanskanen, Tomas, Renkonen-Sinisalo, Laura, Zanke, Brent, Männistö, Satu, Albanes, Demetrius, Weinstein, Stephanie, Ruiz-Narvaez, Edward, Palmer, Julie, Buchanan, Daniel, Platz, Elizabeth, Visvanathan, Kala, Ulrich, Cornelia, Siegel, Erin, Brezina, Stefanie, Gsur, Andrea, Campbell, Peter, Chang-Claude, Jenny, Hoffmeister, Michael, Brenner, Hermann, Slattery, Martha, Potter, John, Tsilidis, Konstantinos, Schulze, Matthias, Gunter, Marc, Murphy, Neil, Castells, Antoni, Castellví-Bel, Sergi, Moreira, Leticia, Arndt, Volker, Shcherbina, Anna, Stern, Mariana, Pardamean, Bens, Bishop, Timothy, Giles, Graham, Southey, Melissa, Idos, Gregory, McDonnell, Kevin, Abu-Ful, Zomoroda, Greenson, Joel, Shulman, Katerina, Lejbkowicz, Flavio, Offit, Kenneth, Su, Yu-Ru, Steinfelder, Robert, Keku, Temitope, van Guelpen, Bethany, Hudson, Thomas, Hampel, Heather, Pearlman, Rachel, Berndt, Sonja, Hayes, Richard, Martinez, Marie Elena, Thomas, Sushma, Corley, Douglas, Pharoah, Paul, Larsson, Susanna, Yen, Yun, Lenz, Heinz-Josef, White, Emily, Li, Li, Doheny, Kimberly, Pugh, Elizabeth, Shelford, Tameka, Chan, Andrew, Cruz-Correa, Marcia, Lindblom, Annika, Hunter, David, Joshi, Amit, Schafmayer, Clemens, Scacheri, Peter, Kundaje, Anshul, Nickerson, Deborah, Schoen, Robert, Hampe, Jochen, Stadler, Zsofia, Vodicka, Pavel, Vodickova, Ludmila, Vymetalkova, Veronika, Papadopoulos, Nickolas, Edlund, Chistopher, Gauderman, William, Thomas, Duncan, Shibata, David, Toland, Amanda, Markowitz, Sanford, Kim, Andre, Chanock, Stephen, van Duijnhoven, Franzel, Feskens, Edith, Sakoda, Lori, Gago-Dominguez, Manuela, Wolk, Alicja, Naccarati, Alessio, Pardini, Barbara, FitzGerald, Liesel, Lee, Soo Chin, Ogino, Shuji, Bien, Stephanie, Kooperberg, Charles, Li, Christopher, Lin, Yi, Prentice, Ross, Qu, Conghui, Bézieau, Stéphane, Tangen, Catherine, Mardis, Elaine, Yamaji, Taiki, Sawada, Norie, Iwasaki, Motoki, Haiman, Christopher, Le Marchand, Loic, Wu, Anna, Qu, Chenxu, McNeil, Caroline, Coetzee, Gerhard, Hayward, Caroline, Deary, Ian, Harris, Sarah, Theodoratou, Evropi, Reid, Stuart, Walker, Marion, Ooi, Li Yin, Moreno, Victor, Casey, Graham, Gruber, Stephen, Tomlinson, Ian, Zheng, Wei, Dunlop, Malcolm, Houlston, Richard, and Peters, Ulrike

Published
2023
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16. Case-Case Genome-Wide Analyses Identify Subtype-Informative Variants that Confer Risk for Breast Cancer

Author

Sun, Xiaohui, primary, Verma, Shiv Prakash, additional, Jia, Guochong, additional, Wang, Xinjun, additional, Ping, Jie, additional, Guo, Xingyi, additional, Shu, Xiao-Ou, additional, Chen, Jianhong, additional, Derkach, Andriy, additional, Cai, Qiuyin, additional, Liang, Xiaolin, additional, Long, Jirong, additional, Offit, Kenneth, additional, Oh, Jung Hun, additional, Reiner, Anne S., additional, Watt, Gordon P., additional, Woods, Meghan, additional, Yang, Yaohua, additional, Ambrosone, Christine B., additional, Ambs, Stefan, additional, Chen, Yu, additional, Concannon, Patrick, additional, Garcia-Closas, Montserrat, additional, Gu, Jian, additional, Haiman, Christopher A., additional, Hu, Jennifer J., additional, Huo, Dezheng, additional, John, Esther M., additional, Knight, Julia A., additional, Li, Christopher I., additional, Lynch, Charles F., additional, Mellemkjaer, Lene, additional, Nathanson, Katherine L., additional, Nemesure, Barbara, additional, Olopade, Olufunmilayo I., additional, Olshan, Andrew F., additional, Pal, Tuya, additional, Palmer, Julie R., additional, Press, Michael F., additional, Sanderson, Maureen, additional, Sandler, Dale P., additional, Troester, Melissa A., additional, Zheng, Wei, additional, Bernstein, Jonine L., additional, Buas, Matthew F., additional, and Shu, Xiang, additional

Published
2024
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17. Identification of Novel Susceptibility Loci and Genes for Prostate Cancer Risk: A Transcriptome-Wide Association Study in Over 140,000 European Descendants

Author

Wu, Lang, Wang, Jifeng, Cai, Qiuyin, Cavazos, Taylor B, Emami, Nima C, Long, Jirong, Shu, Xiao-Ou, Lu, Yingchang, Guo, Xingyi, Bauer, Joshua A, Pasaniuc, Bogdan, Penney, Kathryn L, Freedman, Matthew L, Kote-Jarai, Zsofia, Witte, John S, Haiman, Christopher A, Eeles, Rosalind A, and Zheng, Wei

Subjects
Cancer, Urologic Diseases, Human Genome, Genetics, Prevention, Aging, Biotechnology, Prostate Cancer, Aetiology, 2.1 Biological and endogenous factors, Biomarkers, Tumor, Case-Control Studies, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Male, Polymorphism, Single Nucleotide, Prostatic Neoplasms, Quantitative Trait Loci, Risk, Transcriptome, PRACTICAL, CRUK, BPC3, CAPS, PEGASUS Consortia, Oncology and Carcinogenesis, Oncology & Carcinogenesis
Abstract

Genome-wide association study-identified prostate cancer risk variants explain only a relatively small fraction of its familial relative risk, and the genes responsible for many of these identified associations remain unknown. To discover novel prostate cancer genetic loci and possible causal genes at previously identified risk loci, we performed a transcriptome-wide association study in 79,194 cases and 61,112 controls of European ancestry. Using data from the Genotype-Tissue Expression Project, we established genetic models to predict gene expression across the transcriptome for both prostate models and cross-tissue models and evaluated model performance using two independent datasets. We identified significant associations for 137 genes at P < 2.61 × 10-6, a Bonferroni-corrected threshold, including nine genes that remained significant at P < 2.61 × 10-6 after adjusting for all known prostate cancer risk variants in nearby regions. Of the 128 remaining associated genes, 94 have not yet been reported as potential target genes at known loci. We silenced 14 genes and many showed a consistent effect on viability and colony-forming efficiency in three cell lines. Our study provides substantial new information to advance our understanding of prostate cancer genetics and biology. SIGNIFICANCE: This study identifies novel prostate cancer genetic loci and possible causal genes, advancing our understanding of the molecular mechanisms that drive prostate cancer.

Published
2019

19. Author Correction: Deciphering colorectal cancer genetics through multi-omic analysis of 100,204 cases and 154,587 controls of European and east Asian ancestries

Author

Fernandez-Rozadilla, Ceres, Timofeeva, Maria, Chen, Zhishan, Law, Philip, Thomas, Minta, Schmit, Stephanie, Díez-Obrero, Virginia, Hsu, Li, Fernandez-Tajes, Juan, Palles, Claire, Sherwood, Kitty, Briggs, Sarah, Svinti, Victoria, Donnelly, Kevin, Farrington, Susan, Blackmur, James, Vaughan-Shaw, Peter, Shu, Xiao-ou, Long, Jirong, Cai, Qiuyin, Guo, Xingyi, Lu, Yingchang, Broderick, Peter, Studd, James, Huyghe, Jeroen, Harrison, Tabitha, Conti, David, Dampier, Christopher, Devall, Mathew, Schumacher, Fredrick, Melas, Marilena, Rennert, Gad, Obón-Santacana, Mireia, Martín-Sánchez, Vicente, Moratalla-Navarro, Ferran, Oh, Jae Hwan, Kim, Jeongseon, Jee, Sun Ha, Jung, Keum Ji, Kweon, Sun-Seog, Shin, Min-Ho, Shin, Aesun, Ahn, Yoon-Ok, Kim, Dong-Hyun, Oze, Isao, Wen, Wanqing, Matsuo, Keitaro, Matsuda, Koichi, Tanikawa, Chizu, Ren, Zefang, Gao, Yu-Tang, Jia, Wei-Hua, Hopper, John, Jenkins, Mark, Win, Aung Ko, Pai, Rish, Figueiredo, Jane, Haile, Robert, Gallinger, Steven, Woods, Michael, Newcomb, Polly, Duggan, David, Cheadle, Jeremy, Kaplan, Richard, Maughan, Timothy, Kerr, Rachel, Kerr, David, Kirac, Iva, Böhm, Jan, Mecklin, Lukka-Pekka, Jousilahti, Pekka, Knekt, Paul, Aaltonen, Lauri, Rissanen, Harri, Pukkala, Eero, Eriksson, Johan, Cajuso, Tatiana, Hänninen, Ulrika, Kondelin, Johanna, Palin, Kimmo, Tanskanen, Tomas, Renkonen-Sinisalo, Laura, Zanke, Brent, Männistö, Satu, Albanes, Demetrius, Weinstein, Stephanie, Ruiz-Narvaez, Edward, Palmer, Julie, Buchanan, Daniel, Platz, Elizabeth, Visvanathan, Kala, Ulrich, Cornelia, Siegel, Erin, Brezina, Stefanie, Gsur, Andrea, Campbell, Peter, Chang-Claude, Jenny, Hoffmeister, Michael, Brenner, Hermann, Slattery, Martha, Potter, John, Tsilidis, Konstantinos, Schulze, Matthias, Gunter, Marc, Murphy, Neil, Castells, Antoni, Castellví-Bel, Sergi, Moreira, Leticia, Arndt, Volker, Shcherbina, Anna, Stern, Mariana, Pardamean, Bens, Bishop, Timothy, Giles, Graham, Southey, Melissa, Idos, Gregory, McDonnell, Kevin, Abu-Ful, Zomoroda, Greenson, Joel, Shulman, Katerina, Lejbkowicz, Flavio, Offit, Kenneth, Su, Yu-Ru, Steinfelder, Robert, Keku, Temitope, van Guelpen, Bethany, Hudson, Thomas, Hampel, Heather, Pearlman, Rachel, Berndt, Sonja, Hayes, Richard, Martinez, Marie Elena, Thomas, Sushma, Corley, Douglas, Pharoah, Paul, Larsson, Susanna, Yen, Yun, Lenz, Heinz-Josef, White, Emily, Li, Li, Doheny, Kimberly, Pugh, Elizabeth, Shelford, Tameka, Chan, Andrew, Cruz-Correa, Marcia, Lindblom, Annika, Hunter, David, Joshi, Amit, Schafmayer, Clemens, Scacheri, Peter, Kundaje, Anshul, Nickerson, Deborah, Schoen, Robert, Hampe, Jochen, Stadler, Zsofia, Vodicka, Pavel, Vodickova, Ludmila, Vymetalkova, Veronika, Papadopoulos, Nickolas, Edlund, Chistopher, Gauderman, William, Thomas, Duncan, Shibata, David, Toland, Amanda, Markowitz, Sanford, Kim, Andre, Chanock, Stephen, van Duijnhoven, Franzel, Feskens, Edith, Sakoda, Lori, Gago-Dominguez, Manuela, Wolk, Alicja, Naccarati, Alessio, Pardini, Barbara, FitzGerald, Liesel, Lee, Soo Chin, Ogino, Shuji, Bien, Stephanie, Kooperberg, Charles, Li, Christopher, Lin, Yi, Prentice, Ross, Qu, Conghui, Bézieau, Stéphane, Tangen, Catherine, Mardis, Elaine, Yamaji, Taiki, Sawada, Norie, Iwasaki, Motoki, Haiman, Christopher, Le Marchand, Loic, Wu, Anna, Qu, Chenxu, McNeil, Caroline, Coetzee, Gerhard, Hayward, Caroline, Deary, Ian, Harris, Sarah, Theodoratou, Evropi, Reid, Stuart, Walker, Marion, Ooi, Li Yin, Moreno, Victor, Casey, Graham, Gruber, Stephen, Tomlinson, Ian, Zheng, Wei, Dunlop, Malcolm, Houlston, Richard, and Peters, Ulrike

Published
2023
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20. ERBB2 amplification in gastric cancer: a genomic insight into ethnic disparities.

Author

Mirza, Muhammad Bilal, Choi, Jungyoon, Smith, Paula Marincola, Baechle, Jordan J, Padmanabhan, Chandrasekhar, Holowatyj, Andreana N, Shah, Shailja C, Guo, Xingyi, and Idrees, Kamran

Subjects
ETHNIC groups, GENE expression profiling, RACIAL inequality, CANCER genes, STOMACH cancer
Abstract

Overall, gastric adenocarcinoma (GC) incidence rates have declined in recent years, but racial and ethnic disparities persist. Individuals who identify as Hispanic/Spanish/Latino are diagnosed with GC at younger ages and have poorer outcomes than non-Hispanic individuals. However, our understanding of GC biology across racial/ethnic groups remains limited. We assessed tumor genomic patterns by race/ethnicity among 1019 patients with primary GC in the American Association for Cancer Research (AACR) Project GENIE Consortium. Hispanic individuals presented with significantly higher rates of ERBB2/HER2 amplification vs other racial/ethnic groups (Hispanic: 13.9% vs 9.8% non-Hispanic White, 8.1% non-Hispanic Asian, and 11.0% non-Hispanic Black; P  < .001, FDR adjusted q < 0.001). Hispanic patients also had higher odds of an ERBB2 amplification vs non-Hispanic Whites in adjusted models (OR = 2.52, 95%CI = 1.20 to 5.33, P  = .015). These findings underscore the important role of genomic factors in GC disparities. Ensuring equitable access to genomic profiling and targeted therapies, such as trastuzumab for HER2 -overexpressing GC, is a promising avenue to mitigate GC disparities and improve outcomes. [ABSTRACT FROM AUTHOR]

Published
2024
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21. High intake of cruciferous vegetables reduces the risk of gastrointestinal cancers: results from observational studies.

Author

Ren, Hong-Gang, Luu, Hung Nguyen, Liu, Ying, Wang, Dao Wen, and Guo, Xingyi

Subjects
GALLBLADDER cancer, GASTROINTESTINAL cancer, ESOPHAGEAL cancer, LIVER cancer, BRASSICACEAE
Abstract

The relationship between cruciferous vegetables (CV) and the risk of gastrointestinal (GI) cancers has been extensively investigated. However, epidemiologic investigations have produced inconsistent results. This meta-analysis investigated the association between CV intake and the risk of GI cancers. Due to the heterogeneity, fixed- or random-effects models were used for the analyses. The final analysis included 81 articles covering 89 studies. In comparison to the lowest consumption categories, the highest consumption categories of CV were associated with a lower risk for all GI cancers [rate ratio (RR): 0.81, 95% confidence interval (95% CI) 0.76–0.87]. Compared to a CV intake of 75 g/day, subjects with CV intake <75 g/day experienced a 7% reduction in risk (RR: 0.93; 95% CI: 0.84–0.96) for each 50 g increase in consumption. A negative correlation was identified between CV intake and the risk of esophageal cancer, gastric cancer, liver cancer, pancreatic cancer, and colorectal cancer (CRC), but not gallbladder cancer (RR: 0.70; 95% CI: 0.38–1.27). High intake of broccoli and cabbage was associated with a decreased risk of gastric cancer (RR: 0.64; 95% CI: 0.47–0.87) and gallbladder cancer (RR: 0.46; 95% CI: 0.29–0.75). These results confirm the association between high intake of CV with a reduced risk of GI cancers. [ABSTRACT FROM AUTHOR]

Published
2024
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22. A Transcriptome-Wide Association Study Among 97,898 Women to Identify Candidate Susceptibility Genes for Epithelial Ovarian Cancer Risk

Author

Lu, Yingchang, Beeghly-Fadiel, Alicia, Wu, Lang, Guo, Xingyi, Li, Bingshan, Schildkraut, Joellen M, Im, Hae Kyung, Chen, Yian A, Permuth, Jennifer B, Reid, Brett M, Teer, Jamie K, Moysich, Kirsten B, Andrulis, Irene L, Anton-Culver, Hoda, Arun, Banu K, Bandera, Elisa V, Barkardottir, Rosa B, Barnes, Daniel R, Benitez, Javier, Bjorge, Line, Brenton, James, Butzow, Ralf, Caldes, Trinidad, Caligo, Maria A, Campbell, Ian, Chang-Claude, Jenny, Claes, Kathleen BM, Couch, Fergus J, Cramer, Daniel W, Daly, Mary B, deFazio, Anna, Dennis, Joe, Diez, Orland, Domchek, Susan M, Dörk, Thilo, Easton, Douglas F, Eccles, Diana M, Fasching, Peter A, Fortner, Renée T, Fountzilas, George, Friedman, Eitan, Ganz, Patricia A, Garber, Judy, Giles, Graham G, Godwin, Andrew K, Goldgar, David E, Goodman, Marc T, Greene, Mark H, Gronwald, Jacek, Hamann, Ute, Heitz, Florian, Hildebrandt, Michelle AT, Høgdall, Claus K, Hollestelle, Antoinette, Hulick, Peter J, Huntsman, David G, Imyanitov, Evgeny N, Isaacs, Claudine, Jakubowska, Anna, James, Paul, Karlan, Beth Y, Kelemen, Linda E, Kiemeney, Lambertus A, Kjaer, Susanne K, Kwong, Ava, Le, Nhu D, Leslie, Goska, Lesueur, Fabienne, Levine, Douglas A, Mattiello, Amalia, May, Taymaa, McGuffog, Lesley, McNeish, Iain A, Merritt, Melissa A, Modugno, Francesmary, Montagna, Marco, Neuhausen, Susan L, Nevanlinna, Heli, Nielsen, Finn C, Nikitina-Zake, Liene, Nussbaum, Robert L, Offit, Kenneth, Olah, Edith, Olopade, Olufunmilayo I, Olson, Sara H, Olsson, Håkan, Osorio, Ana, Park, Sue K, Parsons, Michael T, Peeters, Petra HM, Pejovic, Tanja, Peterlongo, Paolo, Phelan, Catherine M, Pujana, Miquel Angel, Ramus, Susan J, Rennert, Gad, Risch, Harvey, Rodriguez, Gustavo C, Rodríguez-Antona, Cristina, and Romieu, Isabelle

Subjects
Biological Sciences, Biomedical and Clinical Sciences, Genetics, Prevention, Human Genome, Ovarian Cancer, Rare Diseases, Cancer, 2.1 Biological and endogenous factors, Aetiology, Carcinogenesis, Carcinoma, Ovarian Epithelial, Cohort Studies, Female, Gene Expression Profiling, Genetic Predisposition to Disease, Genome-Wide Association Study, Genotype, Humans, Ovarian Neoplasms, Polymorphism, Single Nucleotide, Prognosis, Quantitative Trait Loci, Risk Factors, Transcriptome, Oncology and Carcinogenesis, Oncology & Carcinogenesis, Biochemistry and cell biology, Oncology and carcinogenesis
Abstract

Large-scale genome-wide association studies (GWAS) have identified approximately 35 loci associated with epithelial ovarian cancer (EOC) risk. The majority of GWAS-identified disease susceptibility variants are located in noncoding regions, and causal genes underlying these associations remain largely unknown. Here, we performed a transcriptome-wide association study to search for novel genetic loci and plausible causal genes at known GWAS loci. We used RNA sequencing data (68 normal ovarian tissue samples from 68 individuals and 6,124 cross-tissue samples from 369 individuals) and high-density genotyping data from European descendants of the Genotype-Tissue Expression (GTEx V6) project to build ovarian and cross-tissue models of genetically regulated expression using elastic net methods. We evaluated 17,121 genes for their cis-predicted gene expression in relation to EOC risk using summary statistics data from GWAS of 97,898 women, including 29,396 EOC cases. With a Bonferroni-corrected significance level of P < 2.2 × 10-6, we identified 35 genes, including FZD4 at 11q14.2 (Z = 5.08, P = 3.83 × 10-7, the cross-tissue model; 1 Mb away from any GWAS-identified EOC risk variant), a potential novel locus for EOC risk. All other 34 significantly associated genes were located within 1 Mb of known GWAS-identified loci, including 23 genes at 6 loci not previously linked to EOC risk. Upon conditioning on nearby known EOC GWAS-identified variants, the associations for 31 genes disappeared and three genes remained (P < 1.47 × 10-3). These data identify one novel locus (FZD4) and 34 genes at 13 known EOC risk loci associated with EOC risk, providing new insights into EOC carcinogenesis.Significance: Transcriptomic analysis of a large cohort confirms earlier GWAS loci and reveals FZD4 as a novel locus associated with EOC risk. Cancer Res; 78(18); 5419-30. ©2018 AACR.

Published
2018

23. A transcriptome-wide association study of 229,000 women identifies new candidate susceptibility genes for breast cancer

Author

Wu, Lang, Shi, Wei, Long, Jirong, Guo, Xingyi, Michailidou, Kyriaki, Beesley, Jonathan, Bolla, Manjeet K, Shu, Xiao-Ou, Lu, Yingchang, Cai, Qiuyin, Al-Ejeh, Fares, Rozali, Esdy, Wang, Qin, Dennis, Joe, Li, Bingshan, Zeng, Chenjie, Feng, Helian, Gusev, Alexander, Barfield, Richard T, Andrulis, Irene L, Anton-Culver, Hoda, Arndt, Volker, Aronson, Kristan J, Auer, Paul L, Barrdahl, Myrto, Baynes, Caroline, Beckmann, Matthias W, Benitez, Javier, Bermisheva, Marina, Blomqvist, Carl, Bogdanova, Natalia V, Bojesen, Stig E, Brauch, Hiltrud, Brenner, Hermann, Brinton, Louise, Broberg, Per, Brucker, Sara Y, Burwinkel, Barbara, Caldés, Trinidad, Canzian, Federico, Carter, Brian D, Castelao, J Esteban, Chang-Claude, Jenny, Chen, Xiaoqing, Cheng, Ting-Yuan David, Christiansen, Hans, Clarke, Christine L, NBCS Collaborators, Collée, Margriet, Cornelissen, Sten, Couch, Fergus J, Cox, David, Cox, Angela, Cross, Simon S, Cunningham, Julie M, Czene, Kamila, Daly, Mary B, Devilee, Peter, Doheny, Kimberly F, Dörk, Thilo, dos-Santos-Silva, Isabel, Dumont, Martine, Dwek, Miriam, Eccles, Diana M, Eilber, Ursula, Eliassen, A Heather, Engel, Christoph, Eriksson, Mikael, Fachal, Laura, Fasching, Peter A, Figueroa, Jonine, Flesch-Janys, Dieter, Fletcher, Olivia, Flyger, Henrik, Fritschi, Lin, Gabrielson, Marike, Gago-Dominguez, Manuela, Gapstur, Susan M, García-Closas, Montserrat, Gaudet, Mia M, Ghoussaini, Maya, Giles, Graham G, Goldberg, Mark S, Goldgar, David E, González-Neira, Anna, Guénel, Pascal, Hahnen, Eric, Haiman, Christopher A, Håkansson, Niclas, Hall, Per, Hallberg, Emily, Hamann, Ute, Harrington, Patricia, Hein, Alexander, Hicks, Belynda, Hillemanns, Peter, Hollestelle, Antoinette, Hoover, Robert N, Hopper, John L, and Huang, Guanmengqian

Subjects
Biological Sciences, Genetics, Human Genome, Biotechnology, Prevention, Breast Cancer, Women's Health, Cancer Genomics, Cancer, 2.1 Biological and endogenous factors, Generic health relevance, Breast Neoplasms, Case-Control Studies, Female, Gene Expression, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Polymorphism, Single Nucleotide, Risk, Transcriptome, NBCS Collaborators, kConFab/AOCS Investigators, Medical and Health Sciences, Developmental Biology, Agricultural biotechnology, Bioinformatics and computational biology
Abstract

The breast cancer risk variants identified in genome-wide association studies explain only a small fraction of the familial relative risk, and the genes responsible for these associations remain largely unknown. To identify novel risk loci and likely causal genes, we performed a transcriptome-wide association study evaluating associations of genetically predicted gene expression with breast cancer risk in 122,977 cases and 105,974 controls of European ancestry. We used data from the Genotype-Tissue Expression Project to establish genetic models to predict gene expression in breast tissue and evaluated model performance using data from The Cancer Genome Atlas. Of the 8,597 genes evaluated, significant associations were identified for 48 at a Bonferroni-corrected threshold of P

Published
2018

24. Circulating microRNAs in association with pancreatic cancer risk within 5 years

Author

Wang, Cong, primary, Cai, Hui, additional, Cai, Qiuyin, additional, Wu, Jie, additional, Stolzenberg‐Solomon, Rachael, additional, Guo, Xingyi, additional, Zhu, Claire, additional, Gao, Yu‐Tang, additional, Berlin, Jordan, additional, Ye, Fei, additional, Zheng, Wei, additional, Setiawan, Veronica Wendy, additional, and Shu, Xiao‐Ou, additional

Published
2024
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26. Large-Scale Cancer Genomic Analysis Reveals Significant Disparities between Microsatellite Instability and Tumor Mutational Burden

Author

Choi, Jungyoon, primary, Park, Kyong Hwa, additional, Kim, Yeul Hong, additional, Sa, Jason K., additional, Sung, Hwa Jung, additional, Chen, Yu-Wei, additional, Chen, Zhishan, additional, Li, Chao, additional, Wen, Wanqing, additional, Zhang, Qingrun, additional, Shu, Xiao-ou, additional, Zheng, Wei, additional, Kim, Jung Sun, additional, and Guo, Xingyi, additional

Published
2024
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27. Identifying Novel Susceptibility Genes for Colorectal Cancer Risk From a Transcriptome-Wide Association Study of 125,478 Subjects

Author

Guo, Xingyi, Lin, Weiqiang, Wen, Wanqing, Huyghe, Jeroen, Bien, Stephanie, Cai, Qiuyin, Harrison, Tabitha, Chen, Zhishan, Qu, Conghui, Bao, Jiandong, Long, Jirong, Yuan, Yuan, Wang, Fangqin, Bai, Mengqiu, Abecasis, Goncalo R., Albanes, Demetrius, Berndt, Sonja I., Bézieau, Stéphane, Bishop, D. Timothy, Brenner, Hermann, Buch, Stephan, Burnett-Hartman, Andrea, Campbell, Peter T., Castellví-Bel, Sergi, Chan, Andrew T., Chang-Claude, Jenny, Chanock, Stephen J., Cho, Sang Hee, Conti, David V., Chapelle, Albert de la, Feskens, Edith J.M., Gallinger, Steven J., Giles, Graham G., Goodman, Phyllis J., Gsur, Andrea, Guinter, Mark, Gunter, Marc J., Hampe, Jochen, Hampel, Heather, Hayes, Richard B., Hoffmeister, Michael, Kampman, Ellen, Kang, Hyun Min, Keku, Temitope O., Kim, Hyeong Rok, Le Marchand, Loic, Lee, Soo Chin, Li, Christopher I., Li, Li, Lindblom, Annika, Lindor, Noralane, Milne, Roger L., Moreno, Victor, Murphy, Neil, Newcomb, Polly A., Nickerson, Deborah A., Offit, Kenneth, Pearlman, Rachel, Pharoah, Paul D.P., Platz, Elizabeth A., Potter, John D., Rennert, Gad, Sakoda, Lori C., Schafmayer, Clemens, Schmit, Stephanie L., Schoen, Robert E., Schumacher, Fredrick R., Slattery, Martha L., Su, Yu-Ru, Tangen, Catherine M., Ulrich, Cornelia M., van Duijnhoven, Franzel J.B., Van Guelpen, Bethany, Visvanathan, Kala, Vodicka, Pavel, Vodickova, Ludmila, Vymetalkova, Veronika, Wang, Xiaoliang, White, Emily, Wolk, Alicja, Woods, Michael O., Casey, Graham, Hsu, Li, Jenkins, Mark A., Gruber, Stephen B., Peters, Ulrike, and Zheng, Wei

Published
2021
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28. Prediction of breast cancer risk based on common genetic variants in women of East Asian ancestry

Author

Wen, Wanqing, Shu, Xiao-ou, Guo, Xingyi, Cai, Qiuyin, Long, Jirong, Bolla, Margaret K, Michailidou, Kyriaki, Dennis, Joe, Wang, Qin, Gao, Yu-Tang, Zheng, Ying, Dunning, Alison M, García-Closas, Montserrat, Brennan, Paul, Chen, Shou-Tung, Choi, Ji-Yeob, Hartman, MiKael, Ho, Hidemi, Lophatananon, Artitaya, Matsuo, Keitaro, Miao, Hui, Muir, Kenneth, Sangrajrang, Suleeporn, Shen, Chen-Yang, Teo, Soo H, Tseng, Chiu-chen, Wu, Anna H, Yip, Cheng Har, Simard, Jacques, Pharoah, Paul D. P., Hall, Per, Kang, Daehee, Xiang, Yongbing, Easton, Douglas F, and Zheng, Wei

Published
2016

29. Fine-mapping analysis including over 254 000 East Asian and European descendants identifies 136 putative colorectal cancer susceptibility genes

Author

Chen, Zhishan, Guo, Xingyi, Tao, Ran, Huyghe, Jeroen R., Law, Philip J., Fernandez-Rozadilla, Ceres, Ping, Jie, Jia, Guochong, Long, Jirong, Li, Chao, Shen, Quanhu, Xie, Yuhan, Timofeeva, Maria N., Thomas, Minta, Schmit, Stephanie L., Díez-Obrero, Virginia, Devall, Matthew, Moratalla-Navarro, Ferran, Fernandez-Tajes, Juan, Palles, Claire, Sherwood, Kitty, Briggs, Sarah E. W., Svinti, Victoria, Donnelly, Kevin, Farrington, Susan M., Blackmur, James, Vaughan-Shaw, Peter G., Shu, Xiao-Ou, Lu, Yingchang, Broderick, Peter, Studd, James, Harrison, Tabitha A., Conti, David V., Schumacher, Fredrick R., Melas, Marilena, Rennert, Gad, Obón-Santacana, Mireia, Martín-Sánchez, Vicente, Oh, Jae Hwan, Kim, Jeongseon, Jee, Sun Ha, Jung, Keum Ji, Kweon, Sun-Seog, Shin, Min-Ho, Shin, Aesun, Ahn, Yoon-Ok, Kim, Dong-Hyun, Oze, Isao, Wen, Wanqing, Matsuo, Keitaro, Matsuda, Koichi, Tanikawa, Chizu, Ren, Zefang, Gao, Yu-Tang, Jia, Wei-Hua, Hopper, John L., Jenkins, Mark A., Win, Aung Ko, Pai, Rish K., Figueiredo, Jane C., Haile, Robert W., Gallinger, Steven, Woods, Michael O., Newcomb, Polly A., Duggan, David, Cheadle, Jeremy P., Kaplan, Richard, Kerr, Rachel, Kerr, David, Kirac, Iva, Böhm, Jan, Mecklin, Jukka-Pekka, Jousilahti, Pekka, Knekt, Paul, Aaltonen, Lauri A., Rissanen, Harri, Pukkala, Eero, Eriksson, Johan G., Cajuso, Tatiana, Hänninen, Ulrika, Kondelin, Johanna, Palin, Kimmo, Tanskanen, Tomas, Renkonen-Sinisalo, Laura, Männistö, Satu, Albanes, Demetrius, Weinstein, Stephanie J., Ruiz-Narvaez, Edward, Palmer, Julie R., Buchanan, Daniel D., Platz, Elizabeth A., Visvanathan, Kala, Ulrich, Cornelia M., Siegel, Erin, Brezina, Stefanie, Gsur, Andrea, Campbell, Peter T., Chang-Claude, Jenny, Hoffmeister, Michael, Brenner, Hermann, Slattery, Martha L., Potter, John D., Tsilidis, Kostas K., Schulze, Matthias B., Gunter, Marc J., Murphy, Neil, Castells, Antoni, Castellví-Bel, Sergi, Moreira, Leticia, Arndt, Volker, Shcherbina, Anna, Bishop, D. Timothy, Giles, Graham G., Southey, Melissa C., Idos, Gregory E., McDonnell, Kevin J., Abu-Ful, Zomoroda, Greenson, Joel K., Shulman, Katerina, Lejbkowicz, Flavio, Offit, Kenneth, Su, Yu-Ru, Steinfelder, Robert, Keku, Temitope O., van Guelpen, Bethany, Hudson, Thomas J., Hampel, Heather, Pearlman, Rachel, Berndt, Sonja I., Hayes, Richard B., Martinez, Marie Elena, Thomas, Sushma S., Pharoah, Paul D. P., Larsson, Susanna C., Yen, Yun, Lenz, Heinz-Josef, White, Emily, Li, Li, Doheny, Kimberly F., Pugh, Elizabeth, Shelford, Tameka, Chan, Andrew T., Cruz-Correa, Marcia, Lindblom, Annika, Hunter, David J., Joshi, Amit D., Schafmayer, Clemens, Scacheri, Peter C., Kundaje, Anshul, Schoen, Robert E., Hampe, Jochen, Stadler, Zsofia K., Vodicka, Pavel, Vodickova, Ludmila, Vymetalkova, Veronika, Edlund, Christopher K., Gauderman, W. James, Shibata, David, Toland, Amanda, Markowitz, Sanford, Kim, Andre, Chanock, Stephen J., van Duijnhoven, Franzel, Feskens, Edith J. M., Sakoda, Lori C., Gago-Dominguez, Manuela, Wolk, Alicja, Pardini, Barbara, FitzGerald, Liesel M., Lee, Soo Chin, Ogino, Shuji, Bien, Stephanie A., Kooperberg, Charles, Li, Christopher I., Lin, Yi, Prentice, Ross, Qu, Conghui, Bézieau, Stéphane, Yamaji, Taiki, Sawada, Norie, Iwasaki, Motoki, Le Marchand, Loic, Wu, Anna H., Qu, Chenxu, McNeil, Caroline E., Coetzee, Gerhard, Hayward, Caroline, Deary, Ian J., Harris, Sarah E., Theodoratou, Evropi, Reid, Stuart, Walker, Marion, Ooi, Li Yin, Lau, Ken S., Zhao, Hongyu, Hsu, Li, Cai, Qiuyin, Dunlop, Malcolm G., Gruber, Stephen B., Houlston, Richard S., Moreno, Victor, Casey, Graham, Peters, Ulrike, Tomlinson, Ian, Zheng, Wei, Chen, Zhishan, Guo, Xingyi, Tao, Ran, Huyghe, Jeroen R., Law, Philip J., Fernandez-Rozadilla, Ceres, Ping, Jie, Jia, Guochong, Long, Jirong, Li, Chao, Shen, Quanhu, Xie, Yuhan, Timofeeva, Maria N., Thomas, Minta, Schmit, Stephanie L., Díez-Obrero, Virginia, Devall, Matthew, Moratalla-Navarro, Ferran, Fernandez-Tajes, Juan, Palles, Claire, Sherwood, Kitty, Briggs, Sarah E. W., Svinti, Victoria, Donnelly, Kevin, Farrington, Susan M., Blackmur, James, Vaughan-Shaw, Peter G., Shu, Xiao-Ou, Lu, Yingchang, Broderick, Peter, Studd, James, Harrison, Tabitha A., Conti, David V., Schumacher, Fredrick R., Melas, Marilena, Rennert, Gad, Obón-Santacana, Mireia, Martín-Sánchez, Vicente, Oh, Jae Hwan, Kim, Jeongseon, Jee, Sun Ha, Jung, Keum Ji, Kweon, Sun-Seog, Shin, Min-Ho, Shin, Aesun, Ahn, Yoon-Ok, Kim, Dong-Hyun, Oze, Isao, Wen, Wanqing, Matsuo, Keitaro, Matsuda, Koichi, Tanikawa, Chizu, Ren, Zefang, Gao, Yu-Tang, Jia, Wei-Hua, Hopper, John L., Jenkins, Mark A., Win, Aung Ko, Pai, Rish K., Figueiredo, Jane C., Haile, Robert W., Gallinger, Steven, Woods, Michael O., Newcomb, Polly A., Duggan, David, Cheadle, Jeremy P., Kaplan, Richard, Kerr, Rachel, Kerr, David, Kirac, Iva, Böhm, Jan, Mecklin, Jukka-Pekka, Jousilahti, Pekka, Knekt, Paul, Aaltonen, Lauri A., Rissanen, Harri, Pukkala, Eero, Eriksson, Johan G., Cajuso, Tatiana, Hänninen, Ulrika, Kondelin, Johanna, Palin, Kimmo, Tanskanen, Tomas, Renkonen-Sinisalo, Laura, Männistö, Satu, Albanes, Demetrius, Weinstein, Stephanie J., Ruiz-Narvaez, Edward, Palmer, Julie R., Buchanan, Daniel D., Platz, Elizabeth A., Visvanathan, Kala, Ulrich, Cornelia M., Siegel, Erin, Brezina, Stefanie, Gsur, Andrea, Campbell, Peter T., Chang-Claude, Jenny, Hoffmeister, Michael, Brenner, Hermann, Slattery, Martha L., Potter, John D., Tsilidis, Kostas K., Schulze, Matthias B., Gunter, Marc J., Murphy, Neil, Castells, Antoni, Castellví-Bel, Sergi, Moreira, Leticia, Arndt, Volker, Shcherbina, Anna, Bishop, D. Timothy, Giles, Graham G., Southey, Melissa C., Idos, Gregory E., McDonnell, Kevin J., Abu-Ful, Zomoroda, Greenson, Joel K., Shulman, Katerina, Lejbkowicz, Flavio, Offit, Kenneth, Su, Yu-Ru, Steinfelder, Robert, Keku, Temitope O., van Guelpen, Bethany, Hudson, Thomas J., Hampel, Heather, Pearlman, Rachel, Berndt, Sonja I., Hayes, Richard B., Martinez, Marie Elena, Thomas, Sushma S., Pharoah, Paul D. P., Larsson, Susanna C., Yen, Yun, Lenz, Heinz-Josef, White, Emily, Li, Li, Doheny, Kimberly F., Pugh, Elizabeth, Shelford, Tameka, Chan, Andrew T., Cruz-Correa, Marcia, Lindblom, Annika, Hunter, David J., Joshi, Amit D., Schafmayer, Clemens, Scacheri, Peter C., Kundaje, Anshul, Schoen, Robert E., Hampe, Jochen, Stadler, Zsofia K., Vodicka, Pavel, Vodickova, Ludmila, Vymetalkova, Veronika, Edlund, Christopher K., Gauderman, W. James, Shibata, David, Toland, Amanda, Markowitz, Sanford, Kim, Andre, Chanock, Stephen J., van Duijnhoven, Franzel, Feskens, Edith J. M., Sakoda, Lori C., Gago-Dominguez, Manuela, Wolk, Alicja, Pardini, Barbara, FitzGerald, Liesel M., Lee, Soo Chin, Ogino, Shuji, Bien, Stephanie A., Kooperberg, Charles, Li, Christopher I., Lin, Yi, Prentice, Ross, Qu, Conghui, Bézieau, Stéphane, Yamaji, Taiki, Sawada, Norie, Iwasaki, Motoki, Le Marchand, Loic, Wu, Anna H., Qu, Chenxu, McNeil, Caroline E., Coetzee, Gerhard, Hayward, Caroline, Deary, Ian J., Harris, Sarah E., Theodoratou, Evropi, Reid, Stuart, Walker, Marion, Ooi, Li Yin, Lau, Ken S., Zhao, Hongyu, Hsu, Li, Cai, Qiuyin, Dunlop, Malcolm G., Gruber, Stephen B., Houlston, Richard S., Moreno, Victor, Casey, Graham, Peters, Ulrike, Tomlinson, Ian, and Zheng, Wei

Abstract

Genome-wide association studies (GWAS) have identified more than 200 common genetic variants independently associated with colorectal cancer (CRC) risk, but the causal variants and target genes are mostly unknown. We sought to fine-map all known CRC risk loci using GWAS data from 100,204 cases and 154,587 controls of East Asian and European ancestry. Our stepwise conditional analyses revealed 238 independent association signals of CRC risk, each with a set of credible causal variants (CCVs), of which 28 signals had a single CCV. Our cis-eQTL/mQTL and colocalization analyses using colorectal tissue-specific transcriptome and methylome data separately from 1299 and 321 individuals, along with functional genomic investigation, uncovered 136 putative CRC susceptibility genes, including 56 genes not previously reported. Analyses of single-cell RNA-seq data from colorectal tissues revealed 17 putative CRC susceptibility genes with distinct expression patterns in specific cell types. Analyses of whole exome sequencing data provided additional support for several target genes identified in this study as CRC susceptibility genes. Enrichment analyses of the 136 genes uncover pathways not previously linked to CRC risk. Our study substantially expanded association signals for CRC and provided additional insight into the biological mechanisms underlying CRC development.

Published
2024
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31. Integrating muti-omics data to identify tissue-specific DNA methylation biomarkers for cancer risk.

Author

Yang, Yaohua, Chen, Yaxin, Xu, Shuai, Guo, Xingyi, Jia, Guochong, Ping, Jie, Shu, Xiang, Zhao, Tianying, Yuan, Fangcheng, Wang, Gang, Xie, Yufang, Ci, Hang, Liu, Hongmo, Qi, Yawen, Liu, Yongjun, Liu, Dan, Li, Weimin, Ye, Fei, Shu, Xiao-Ou, and Zheng, Wei

Subjects
DISEASE risk factors, DNA methylation, TUMOR markers, GENOME-wide association studies, DNA adducts, GENETIC models
Abstract

The relationship between tissue-specific DNA methylation and cancer risk remains inadequately elucidated. Leveraging resources from the Genotype-Tissue Expression consortium, here we develop genetic models to predict DNA methylation at CpG sites across the genome for seven tissues and apply these models to genome-wide association study data of corresponding cancers, namely breast, colorectal, renal cell, lung, ovarian, prostate, and testicular germ cell cancers. At Bonferroni-corrected P < 0.05, we identify 4248 CpGs that are significantly associated with cancer risk, of which 95.4% (4052) are specific to a particular cancer type. Notably, 92 CpGs within 55 putative novel loci retain significant associations with cancer risk after conditioning on proximal signals identified by genome-wide association studies. Integrative multi-omics analyses reveal 854 CpG-gene-cancer trios, suggesting that DNA methylation at 309 distinct CpGs might influence cancer risk through regulating the expression of 205 unique cis-genes. These findings substantially advance our understanding of the interplay between genetics, epigenetics, and gene expression in cancer etiology. The relationship between tissue-specific DNA methylation and cancer risk remains to be elucidated. Here, the authors predict DNA methylation at CpG sites for seven cancer types and investigate how these influence cancer risk. [ABSTRACT FROM AUTHOR]

Published
2024
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32. Detecting Offensive Language on Malay Social Media: A Zero-Shot, Cross-Language Transfer Approach Using Dual-Branch mBERT.

Author

Guo, Xingyi, Adnan, Hamedi Mohd, and Abidin, Muhammad Zaiamri Zainal

Subjects
MALAY language, ONLINE comments, LANGUAGE models, SOCIAL media, INTERGROUP relations, CITIZENS, SPEECH, VIRTUAL communities, DEAF children
Abstract

Social media serves as a platform for netizens to stay informed and express their opinions through the Internet. Currently, the social media discourse environment faces a significant security threat—offensive comments. A group of users posts comments that are provocative, discriminatory, and objectionable, intending to disrupt online discussions, provoke others, and incite intergroup conflict. These comments undermine citizens' legitimate rights, disrupt social order, and may even lead to real-world violent incidents. However, current automatic detection of offensive language primarily focuses on a few high-resource languages, leaving low-resource languages, such as Malay, with insufficient annotated corpora for effective detection. To address this, we propose a zero-shot, cross-language unsupervised offensive language detection (OLD) method using a dual-branch mBERT transfer approach. Firstly, using the multi-language BERT (mBERT) model as the foundational language model, the first network branch automatically extracts features from both source and target domain data. Subsequently, Sinkhorn distance is employed to measure the discrepancy between the source and target language feature representations. By estimating the Sinkhorn distance between the labeled source language (e.g., English) and the unlabeled target language (e.g., Malay) feature representations, the method minimizes the Sinkhorn distance adversarially to provide more stable gradients, thereby extracting effective domain-shared features. Finally, offensive pivot words from the source and target language training sets are identified. These pivot words are then removed from the training data in a second network branch, which employs the same architecture. This process constructs an auxiliary OLD task. By concealing offensive pivot words in the training data, the model reduces overfitting and enhances robustness to the target language. In the end-to-end framework training, the combination of cross-lingual shared features and independent features culminates in unsupervised detection of offensive speech in the target language. The experimental results demonstrate that employing cross-language model transfer learning can achieve unsupervised detection of offensive content in low-resource languages. The number of labeled samples in the source language is positively correlated with transfer performance, and a greater similarity between the source and target languages leads to better transfer effects. The proposed method achieves the best performance in OLD on the Malay dataset, achieving an F1 score of 80.7%. It accurately identifies features of offensive speech, such as sarcasm, mockery, and implicit expressions, and showcases strong generalization and excellent stability across different target languages. [ABSTRACT FROM AUTHOR]

Published
2024
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35. Fine‐scale mapping of 8q24 locus identifies multiple independent risk variants for breast cancer

Author

Shi, Jiajun, Zhang, Yanfeng, Zheng, Wei, Michailidou, Kyriaki, Ghoussaini, Maya, Bolla, Manjeet K, Wang, Qin, Dennis, Joe, Lush, Michael, Milne, Roger L, Shu, Xiao‐Ou, Beesley, Jonathan, Kar, Siddhartha, Andrulis, Irene L, Anton‐Culver, Hoda, Arndt, Volker, Beckmann, Matthias W, Zhao, Zhiguo, Guo, Xingyi, Benitez, Javier, Beeghly‐Fadiel, Alicia, Blot, William, Bogdanova, Natalia V, Bojesen, Stig E, Brauch, Hiltrud, Brenner, Hermann, Brinton, Louise, Broeks, Annegien, Brüning, Thomas, Burwinkel, Barbara, Cai, Hui, Canisius, Sander, Chang‐Claude, Jenny, Choi, Ji‐Yeob, Couch, Fergus J, Cox, Angela, Cross, Simon S, Czene, Kamila, Darabi, Hatef, Devilee, Peter, Droit, Arnaud, Dork, Thilo, Fasching, Peter A, Fletcher, Olivia, Flyger, Henrik, Fostira, Florentia, Gaborieau, Valerie, García‐Closas, Montserrat, Giles, Graham G, Grip, Mervi, Guenel, Pascal, Haiman, Christopher A, Hamann, Ute, Hartman, Mikael, Miao, Hui, Hollestelle, Antoinette, Hopper, John L, Hsiung, Chia‐Ni, Investigators, kConFab, Ito, Hidemi, Jakubowska, Anna, Johnson, Nichola, Torres, Diana, Kabisch, Maria, Kang, Daehee, Khan, Sofia, Knight, Julia A, Kosma, Veli‐Matti, Lambrechts, Diether, Li, Jingmei, Lindblom, Annika, Lophatananon, Artitaya, Lubinski, Jan, Mannermaa, Arto, Manoukian, Siranoush, Le Marchand, Loic, Margolin, Sara, Marme, Frederik, Matsuo, Keitaro, McLean, Catriona, Meindl, Alfons, Muir, Kenneth, Neuhausen, Susan L, Nevanlinna, Heli, Nord, Silje, Børresen‐Dale, Anne‐Lise, Olson, Janet E, Orr, Nick, van den Ouweland, Ans MW, Peterlongo, Paolo, Putti, Thomas Choudary, Rudolph, Anja, Sangrajrang, Suleeporn, Sawyer, Elinor J, Schmidt, Marjanka K, Schmutzler, Rita K, Shen, Chen‐Yang, Hou, Ming‐Feng, Shrubsole, Matha J, and Southey, Melissa C

Subjects
Genetics, Cancer, Breast Cancer, Human Genome, Aetiology, 2.1 Biological and endogenous factors, Alleles, Breast Neoplasms, Case-Control Studies, Chromosome Mapping, Chromosomes, Human, Pair 8, Female, Genetic Variation, Genome-Wide Association Study, Genotype, Haplotypes, Humans, Linkage Disequilibrium, Odds Ratio, Polymorphism, Single Nucleotide, Quantitative Trait Loci, Risk, White People, breast cancer, genetic susceptibility, 8q24, fine-mapping, single nucleotide polymorphism, Mervi Grip, kConFab Investigators, Oncology and Carcinogenesis, Oncology & Carcinogenesis
Abstract

Previous genome-wide association studies among women of European ancestry identified two independent breast cancer susceptibility loci represented by single nucleotide polymorphisms (SNPs) rs13281615 and rs11780156 at 8q24. A fine-mapping study across 2.06 Mb (chr8:127,561,724-129,624,067, hg19) in 55,540 breast cancer cases and 51,168 controls within the Breast Cancer Association Consortium was conducted. Three additional independent association signals in women of European ancestry, represented by rs35961416 (OR = 0.95, 95% CI = 0.93-0.97, conditional p = 5.8 × 10(-6) ), rs7815245 (OR = 0.94, 95% CI = 0.91-0.96, conditional p = 1.1 × 10(-6) ) and rs2033101 (OR = 1.05, 95% CI = 1.02-1.07, conditional p = 1.1 × 10(-4) ) were found. Integrative analysis using functional genomic data from the Roadmap Epigenomics, the Encyclopedia of DNA Elements project, the Cancer Genome Atlas and other public resources implied that SNPs rs7815245 in Signal 3, and rs1121948 in Signal 5 (in linkage disequilibrium with rs11780156, r(2)  = 0.77), were putatively functional variants for two of the five independent association signals. The results highlighted multiple 8q24 variants associated with breast cancer susceptibility in women of European ancestry.

Published
2016

36. Identification of independent association signals and putative functional variants for breast cancer risk through fine-scale mapping of the 12p11 locus

Author

Zeng, Chenjie, Guo, Xingyi, Long, Jirong, Kuchenbaecker, Karoline B, Droit, Arnaud, Michailidou, Kyriaki, Ghoussaini, Maya, Kar, Siddhartha, Freeman, Adam, Hopper, John L, Milne, Roger L, Bolla, Manjeet K, Wang, Qin, Dennis, Joe, Agata, Simona, Ahmed, Shahana, Aittomäki, Kristiina, Andrulis, Irene L, Anton-Culver, Hoda, Antonenkova, Natalia N, Arason, Adalgeir, Arndt, Volker, Arun, Banu K, Arver, Brita, Bacot, Francois, Barrowdale, Daniel, Baynes, Caroline, Beeghly-Fadiel, Alicia, Benitez, Javier, Bermisheva, Marina, Blomqvist, Carl, Blot, William J, Bogdanova, Natalia V, Bojesen, Stig E, Bonanni, Bernardo, Borresen-Dale, Anne-Lise, Brand, Judith S, Brauch, Hiltrud, Brennan, Paul, Brenner, Hermann, Broeks, Annegien, Brüning, Thomas, Burwinkel, Barbara, Buys, Saundra S, Cai, Qiuyin, Caldes, Trinidad, Campbell, Ian, Carpenter, Jane, Chang-Claude, Jenny, Choi, Ji-Yeob, Claes, Kathleen B. M, Clarke, Christine, Cox, Angela, Cross, Simon S, Czene, Kamila, Daly, Mary B, de la Hoya, Miguel, De Leeneer, Kim, Devilee, Peter, Diez, Orland, Domchek, Susan M, Doody, Michele, Dorfling, Cecilia M, Dörk, Thilo, dos-Santos-Silva, Isabel, Dumont, Martine, Dwek, Miriam, Dworniczak, Bernd, Egan, Kathleen, Eilber, Ursula, Einbeigi, Zakaria, Ejlertsen, Bent, Ellis, Steve, Frost, Debra, Lalloo, Fiona, Fasching, Peter A, Figueroa, Jonine, Flyger, Henrik, Friedlander, Michael, Friedman, Eitan, Gambino, Gaetana, Gao, Yu-Tang, Garber, Judy, García-Closas, Montserrat, Gehrig, Andrea, Damiola, Francesca, Lesueur, Fabienne, Mazoyer, Sylvie, Stoppa-Lyonnet, Dominique, Giles, Graham G, Godwin, Andrew K, Goldgar, David E, González-Neira, Anna, Greene, Mark H, Guénel, Pascal, Haeberle, Lothar, Haiman, Christopher A, Hallberg, Emily, Hamann, Ute, and Hansen, Thomas V. O

Published
2016

37. Genome-wide association studies in East Asians identify new loci for waist-hip ratio and waist circumference.

Author

Wen, Wanqing, Kato, Norihiro, Hwang, Joo-Yeon, Guo, Xingyi, Tabara, Yasuharu, Li, Huaixing, Dorajoo, Rajkumar, Yang, Xiaobo, Tsai, Fuu-Jen, Li, Shengxu, Wu, Ying, Wu, Tangchun, Kim, Soriul, Guo, Xiuqing, Liang, Jun, Shungin, Dmitry, Adair, Linda S, Akiyama, Koichi, Allison, Matthew, Cai, Qiuyin, Chang, Li-Ching, Chen, Chien-Hsiun, Chen, Yuan-Tsong, Cho, Yoon Shin, Choi, Bo Youl, Gao, Yutang, Go, Min Jin, Gu, Dongfeng, Han, Bok-Ghee, He, Meian, Hixson, James E, Hu, Yanling, Huang, Tao, Isono, Masato, Jung, Keum Ji, Kang, Daehee, Kim, Young Jin, Kita, Yoshikuni, Lee, Juyoung, Lee, Nanette R, Lee, Jeannette, Wang, Yiqin, Liu, Jian-Jun, Long, Jirong, Moon, Sanghoon, Nakamura, Yasuyuki, Nakatochi, Masahiro, Ohnaka, Keizo, Rao, Dabeeru, Shi, Jiajun, Sull, Jae Woong, Tan, Aihua, Ueshima, Hirotsugu, Wu, Chen, Xiang, Yong-Bing, Yamamoto, Ken, Yao, Jie, Ye, Xingwang, Yokota, Mitsuhiro, Zhang, Xiaomin, Zheng, Yan, Qi, Lu, Rotter, Jerome I, Jee, Sun Ha, Lin, Dongxin, Mohlke, Karen L, He, Jiang, Mo, Zengnan, Wu, Jer-Yuarn, Tai, E Shyong, Lin, Xu, Miki, Tetsuro, Kim, Bong-Jo, Takeuchi, Fumihiko, Zheng, Wei, and Shu, Xiao-Ou

Subjects
Humans, Obesity, Genetic Predisposition to Disease, Waist-Hip Ratio, Sex Factors, Quantitative Trait, Heritable, Polymorphism, Single Nucleotide, Quantitative Trait Loci, Asian Continental Ancestry Group, Asia, Female, Male, Waist Circumference, Genome-Wide Association Study, Quantitative Trait, Heritable, Polymorphism, Single Nucleotide, Clinical Research, Genetics, 2.1 Biological and endogenous factors, Cardiovascular, Biochemistry and Cell Biology, Other Physical Sciences
Abstract

Sixty genetic loci associated with abdominal obesity, measured by waist circumference (WC) and waist-hip ratio (WHR), have been previously identified, primarily from studies conducted in European-ancestry populations. We conducted a meta-analysis of associations of abdominal obesity with approximately 2.5 million single nucleotide polymorphisms (SNPs) among 53,052 (for WC) and 48,312 (for WHR) individuals of Asian descent, and replicated 33 selected SNPs among 3,762 to 17,110 additional individuals. We identified four novel loci near the EFEMP1, ADAMTSL3 , CNPY2, and GNAS genes that were associated with WC after adjustment for body mass index (BMI); two loci near the NID2 and HLA-DRB5 genes associated with WHR after adjustment for BMI, and three loci near the CEP120, TSC22D2, and SLC22A2 genes associated with WC without adjustment for BMI. Functional enrichment analyses revealed enrichment of corticotropin-releasing hormone signaling, GNRH signaling, and/or CDK5 signaling pathways for those newly-identified loci. Our study provides additional insight on genetic contribution to abdominal obesity.

Published
2016

44. Large-Scale Genome-Wide Association Study of East Asians Identifies Loci Associated With Risk for Colorectal Cancer

Author

Lu, Yingchang, Kweon, Sun-Seog, Tanikawa, Chizu, Jia, Wei-Hua, Xiang, Yong-Bing, Cai, Qiuyin, Zeng, Chenjie, Schmit, Stephanie L., Shin, Aesun, Matsuo, Keitaro, Jee, Sun Ha, Kim, Dong-Hyun, Kim, Jeongseon, Wen, Wanqing, Shi, Jiajun, Guo, Xingyi, Li, Bingshan, Wang, Nan, Zhang, Ben, Li, Xinxiang, Shin, Min-Ho, Li, Hong-Lan, Ren, Zefang, Oh, Jae Hwan, Oze, Isao, Ahn, Yoon-Ok, Jung, Keum Ji, Conti, David V., Schumacher, Fredrick R., Rennert, Gad, Jenkins, Mark A., Campbell, Peter T., Hoffmeister, Michael, Casey, Graham, Gruber, Stephen B., Gao, Jing, Gao, Yu-Tang, Pan, Zhi-Zhong, Kamatani, Yoichiro, Zeng, Yi-Xin, Shu, Xiao-Ou, Long, Jirong, Matsuda, Koichi, and Zheng, Wei

Published
2019
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45. Meta-analysis of genome-wide association studies in East Asian-ancestry populations identifies four new loci for body mass index

Author

Wen, Wanqing, Zheng, Wei, Okada, Yukinori, Takeuchi, Fumihiko, Tabara, Yasuharu, Hwang, Joo-Yeon, Dorajoo, Rajkumar, Li, Huaixing, Tsai, Fuu-Jen, Yang, Xiaobo, He, Jiang, Wu, Ying, He, Meian, Zhang, Yi, Liang, Jun, Guo, Xiuqing, Sheu, Wayne Huey-Herng, Delahanty, Ryan, Guo, Xingyi, Kubo, Michiaki, Yamamoto, Ken, Ohkubo, Takayoshi, Go, Min Jin, Liu, Jian Jun, Gan, Wei, Chen, Ching-Chu, Gao, Yong, Li, Shengxu, Lee, Nanette R, Wu, Chen, Zhou, Xueya, Song, Huaidong, Yao, Jie, Lee, I-Te, Long, Jirong, Tsunoda, Tatsuhiko, Akiyama, Koichi, Takashima, Naoyuki, Cho, Yoon Shin, Ong, Rick TH, Lu, Ling, Chen, Chien-Hsiun, Tan, Aihua, Rice, Treva K, Adair, Linda S, Gui, Lixuan, Allison, Matthew, Lee, Wen-Jane, Cai, Qiuyin, Isomura, Minoru, Umemura, Satoshi, Kim, Young Jin, Seielstad, Mark, Hixson, James, Xiang, Yong-Bing, Isono, Masato, Kim, Bong-Jo, Sim, Xueling, Lu, Wei, Nabika, Toru, Lee, Juyoung, Lim, Wei-Yen, Gao, Yu-Tang, Takayanagi, Ryoichi, Kang, Dae-Hee, Wong, Tien Yin, Hsiung, Chao Agnes, Wu, I-Chien, Juang, Jyh-Ming Jimmy, Shi, Jiajun, Choi, Bo Youl, Aung, Tin, Hu, Frank, Kim, Mi Kyung, Lim, Wei Yen, Wang, Tzung-Dao, Shin, Min-Ho, Lee, Jeannette, Ji, Bu-Tian, Lee, Young-Hoon, Young, Terri L, Shin, Dong Hoon, Chun, Byung-Yeol, Cho, Myeong-Chan, Han, Bok-Ghee, Hwu, Chii-Min, Assimes, Themistocles L, Absher, Devin, Yan, Xiaofei, Kim, Eric, Kuo, Jane Z, Kwon, Soonil, Taylor, Kent D, Chen, Yii-Der I, Rotter, Jerome I, Qi, Lu, Zhu, Dingliang, Wu, Tangchun, Mohlke, Karen L, and Gu, Dongfeng

Subjects
Biological Sciences, Genetics, Obesity, Nutrition, Human Genome, Women's Health, 5'-Nucleotidase, Aldehyde Dehydrogenase, Aldehyde Dehydrogenase, Mitochondrial, Asian People, Blood Proteins, Body Mass Index, Cardiac Myosins, Asia, Eastern, Female, Genetic Predisposition to Disease, Genome-Wide Association Study, Glycoproteins, Humans, KCNQ1 Potassium Channel, Male, Myosin Light Chains, Polymorphism, Single Nucleotide, Proteinase Inhibitory Proteins, Secretory, Medical and Health Sciences, Genetics & Heredity
Abstract

Recent genetic association studies have identified 55 genetic loci associated with obesity or body mass index (BMI). The vast majority, 51 loci, however, were identified in European-ancestry populations. We conducted a meta-analysis of associations between BMI and ∼2.5 million genotyped or imputed single nucleotide polymorphisms among 86 757 individuals of Asian ancestry, followed by in silico and de novo replication among 7488-47 352 additional Asian-ancestry individuals. We identified four novel BMI-associated loci near the KCNQ1 (rs2237892, P = 9.29 × 10(-13)), ALDH2/MYL2 (rs671, P = 3.40 × 10(-11); rs12229654, P = 4.56 × 10(-9)), ITIH4 (rs2535633, P = 1.77 × 10(-10)) and NT5C2 (rs11191580, P = 3.83 × 10(-8)) genes. The association of BMI with rs2237892, rs671 and rs12229654 was significantly stronger among men than among women. Of the 51 BMI-associated loci initially identified in European-ancestry populations, we confirmed eight loci at the genome-wide significance level (P < 5.0 × 10(-8)) and an additional 14 at P < 1.0 × 10(-3) with the same direction of effect as reported previously. Findings from this analysis expand our knowledge of the genetic basis of obesity.

Published
2014

48. Large-scale alternative polyadenylation (APA)-wide association studies to identify putative susceptibility genes in human common cancers

Author

Guo, Xingyi, primary, Ping, Jie, additional, Yang, Yaohua, additional, Su, Xinwan, additional, Shu, Xiao-ou, additional, Wen, Wanqing, additional, Chen, Zhishan, additional, Zhang, Yunjing, additional, Tao, Ran, additional, Jia, Guochong, additional, He, Jingni, additional, Cai, Qiuyin, additional, Zhang, Qingrun, additional, Giles, Graham G, additional, Pearlman, Rachel, additional, Rennert, Gad, additional, Vodicka, Pavel, additional, Phipps, Amanda, additional, Gruber, Stephen B, additional, Casey, Graham, additional, Peters, Ulrike, additional, Long, Jirong, additional, Lin, Weiqiang, additional, and Zheng, Wei, additional

Published
2023
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49. Enhancing Disease Risk Gene Discovery by Integrating Transcription Factor-Linked Trans-located Variants into Transcriptome-Wide Association Analyses

Author

He, Jingni, primary, Wen, Wanqing, additional, Ping, Jie, additional, Li, Qing, additional, Chen, Zhishan, additional, Perera, Deshan, additional, Shu, Xiang, additional, Long, Jirong, additional, Cai, Qiuyin, additional, Shu, Xiao-ou, additional, Zheng, Wei, additional, Long, Quan, additional, and Guo, Xingyi, additional

Published
2023
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